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ABS-CBN Fan Engagement Comments
Social Media and Networking
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Free
About
This dataset comprises a collection of YouTube comment threads primarily from the ABS-CBN Entertainment channel, which is the most-subscribed and most-viewed entertainment channel in Southeast Asia. It offers insights into public engagement and reactions to video content, specifically highlighting discussions around "Cardo Chronicles" related videos. The dataset is ideal for natural language processing (NLP), social media analysis, and understanding audience sentiment within a Filipino cultural context.
Columns
- commentThread.videoId: Unique identifier for the YouTube video to which the comment thread belongs.
- commentThread.id: Unique identifier for the comment thread.
- commentThread.channelId: Identifier for the YouTube channel where the comments were posted.
- commentThread.canReply: Boolean indicating if replies can be made to the top-level comment in the thread.
- commentThread.totalReplyCount: The total number of replies to the top-level comment.
- commentThread.isPublic: Boolean indicating if the comment thread is publicly visible.
- comment.id: Unique identifier for an individual comment.
- comment.textOriginal: The original text content of the comment.
- comment.authorDisplayName: The display name of the comment's author.
- comment.authorChannelId.value: The channel ID of the comment's author.
- comment.canRate: Boolean indicating if the comment can be rated (liked/disliked).
- comment.viewerRating: The viewer's rating of the comment (e.g., 'none').
- comment.likeCount: The number of likes the comment has received.
- comment.publishedAt: The timestamp when the comment was published.
- comment.updatedAt: The timestamp when the comment was last updated.
- topLevelComment: Indicates if the comment is a top-level comment (value '1' for top-level, '0' for replies, though sample shows '1' for all entries).
Distribution
The dataset is typically provided in a CSV (Comma Separated Values) format. A sample file is available separately for review. While the ABS-CBN Entertainment channel hosts over 220,000 videos, this particular dataset contains comments from 655 videos. The structured format allows for straightforward parsing and analysis of individual comments and their associated metadata. Specific numbers for total rows/records are not currently available without the full dataset.
Usage
This dataset is well-suited for various applications, including:
- Natural Language Processing (NLP) tasks such as sentiment analysis, topic modelling, and keyword extraction from social media text.
- Social media research to analyse audience engagement, trending topics, and user behaviour on YouTube.
- AI and Machine Learning model training for tasks like comment classification, content moderation, or audience segmentation.
- Market research to understand public opinion and reactions to entertainment content.
- Linguistic studies focusing on informal language use in online contexts within a Southeast Asian cultural background.
Coverage
The dataset primarily covers YouTube comments from the ABS-CBN Entertainment channel, a prominent Philippine commercial broadcast network headquartered in Quezon City, Philippines. The sample comments provided are from 13th August 2016. The demographic scope includes YouTube users who engage with Filipino entertainment content globally, with a strong focus on the Philippines. It is important to note that due to API limitations, this dataset does not include comments from all 220,000+ videos available on the channel.
License
CC0
Who Can Use It
- Data Scientists and AI/ML Developers: For building and training models related to text analysis, sentiment prediction, and social media analytics.
- Researchers: Those studying online communication, media consumption, cultural trends, or specific regional demographics (e.g., the Philippines).
- Marketing and Media Analysts: To gauge audience reception, identify popular content, and inform content strategy for entertainment channels.
- Linguists and Sociologists: For qualitative and quantitative analysis of online discourse and language patterns.
Dataset Name Suggestions
- ABS-CBN YouTube Comments (Cardo Chronicles)
- Filipino YouTube Entertainment Comments
- Cardo Chronicles YouTube Discussion Data
- ABS-CBN Fan Engagement Comments
- Philippine Entertainment YouTube Reactions
Attributes
Original Data Source: 🇵🇭 ABS-CBN Entertainment YT Channel Comments
QUALITY